本文实例讲述了python mutiprocessing多线程池pool操作。分享给大家供大家参考，具体如下：
python — mutiprocessing 多线程 pool
脚本代码：
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root@72132server:~/python/multiprocess# ls
multiprocess_pool.py multprocess.py
root@72132server:~/python/multiprocess# cat multiprocess_pool.py
#!/usr/bin/python
# --*-- coding:utf-8 --*--
import multiprocessing
import sys,os,time
result = []#把运行的进程池放入，空的列表
def run(msg):#定义正在处理进程编号数的函数功能
print 'threading number:%s %s' %(msg,os.getpid())#打印正在处理的进程编号数与对应的系统进程号
time.sleep(2)
p = multiprocessing.pool(processes = 25)#绑定事例，同时执行25个线程
for i in range(100):
result.append(p.apply_async(run,('%s' %i,)))#异步传输正在运行的进程数字号码
p.close()#关闭正在运行的25个进程
#p.join()
for res in result:#获取运行结果
res.get(timeout=5)
root@72132server:~/python/multiprocess#
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运行情况：
1）脚本运行
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root@72132server:~/python/multiprocess# python multiprocess_pool.py
threading number:0 27912
threading number:1 27915
threading number:2 27913
threading number:3 27916
threading number:4 27917
threading number:5 27918
threading number:6 27919
threading number:7 27920
threading number:8 27922
threading number:9 27923
threading number:10 27924
threading number:11 27925
threading number:12 27926
threading number:13 27927
threading number:14 27928
threading number:15 27914
threading number:16 27929
threading number:17 27921
threading number:18 27930
threading number:19 27931
threading number:20 27932
threading number:21 27934
threading number:22 27935
threading number:23 27936
threading number:24 27933
threading number:25 27912
threading number:26 27915
threading number:27 27917
threading number:28 27918
threading number:29 27916
threading number:30 27913
threading number:31 27922
threading number:32 27919
threading number:33 27920
threading number:34 27923
threading number:35 27924
threading number:36 27925
threading number:37 27927
threading number:38 27921
threading number:39 27930
threading number:40 27932
threading number:41 27934
threading number:42 27935
threading number:43 27926
threading number:44 27931
threading number:45 27928
threading number:46 27929
threading number:47 27914
threading number:48 27933
threading number:49 27936
threading number:50 27912
threading number:51 27915
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2）进程查看（25个进程同时运行）
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root@72132server:~/python/multiprocess# ps -ef | grep multi
root 27905 23930 0 22:39 pts/3 00:00:00 grep multi
root@72132server:~/python/multiprocess# ps -ef | grep multi
root 27911 20609 1 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27912 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27913 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27914 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27915 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27916 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27917 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27918 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27919 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27920 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27921 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27922 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27923 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27924 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27925 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27926 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27927 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27928 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27929 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27930 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27931 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27932 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27933 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27934 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27935 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27936 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27941 23930 0 22:39 pts/3 00:00:00 grep multi
root@72132server:~/python/multiprocess# ps -ef | grep multi
root 27911 20609 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27912 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27913 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27914 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27915 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27916 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27917 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27918 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27919 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27920 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27921 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27922 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27923 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27924 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27925 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27926 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27927 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27928 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27929 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27930 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27931 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27932 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27933 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27934 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27935 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27936 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py
root 27943 23930 0 22:39 pts/3 00:00:00 grep multi
root@72132server:~/python/multiprocess#
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希望本文所述对大家python程序设计有所帮助。
原文链接：https://blog.csdn.net/xwbk12/article/details/77624248